Shahab Perdana

Kedah, Kota Setar, Bandar Alor Setar

Property Transactions

8 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
2,100 sqft
Terrace Factory
RM360,000
Jalan Shahab Perdana
2,099 sqft · RM172 PSF
RM360,000
Jalan Shahab Perdana
2,099 sqft · RM172 PSF
RM450,000
Jalan Shahab 10
2,099 sqft · RM214 PSF
RM400,000
Jalan Sultanah Sambungan
2,099 sqft · RM191 PSF
RM420,000
Jalan Shahab Perdana 10
2,099 sqft · RM200 PSF
RM380,000
Jalan Shahab Perdana 11
2,099 sqft · RM181 PSF
2,550 sqft
Terrace Factory
RM400,000
Jalan Shahab 10
2,530 sqft · RM158 PSF
RM300,000
Off Jalan Sultanah
2,530 sqft · RM119 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Commercial

RM390,000

RM177 psf

Median transaction price

Shahab Perdana
© OpenStreetMap · CARTO

Shahab Perdana, Kota Setar, Kedah

Shahab Perdana in Kota Setar, Kedah recorded 8 Terraced Factory properties subsale transactions between 2021 and 2026, with a median price of RM390K and a median price per square foot (PSF) of RM177.

This area consists exclusively of commercial properties, with no residential listings recorded.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM390K, with most transactions falling within a stable range of RM348K to RM432K, and a typical market range of RM326K to RM450K.

Within the Terraced Factory category, 2 - 2 1/2 storey shop dominated the market, though some variety exists in the market.

The median PSF stands at RM177, with core pricing between RM149 and RM204. Market pricing typically extends from RM106.02 to RM247.02, reflecting moderate variation in unit pricing. The spread of RM141.00 (IQR) and deviation of RM27 (MAD) suggest moderate price variations reflecting different property features.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.